{"total":35,"rows":[{"id":"2410.03834","title":"GraphRouter: A Graph-based Router for LLM Selections","created":"2024-10-04","cited_by_count":165,"area":null},{"id":"2111.10778","title":"Federated Social Recommendation with Graph Neural Network","created":"2021-11-21","cited_by_count":56,"area":null},{"id":"2108.11883","title":"DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN","created":"2021-08-26","cited_by_count":19,"area":null},{"id":"2210.16118","title":"Imitation Learning-based Implicit Semantic-aware Communication Networks: Multi-layer Representation and Collaborative Reasoning","created":"2022-10-28","cited_by_count":16,"area":null},{"id":"2306.14462","title":"Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation","created":"2023-06-26","cited_by_count":13,"area":null},{"id":"2306.13339","title":"TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support","created":"2023-06-23","cited_by_count":12,"area":null},{"id":"2401.13210","title":"Multitask Active Learning for Graph Anomaly Detection","created":"2024-01-24","cited_by_count":7,"area":null},{"id":"2406.09031","title":"A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability","created":"2024-06-13","cited_by_count":7,"area":null},{"id":"2209.01539","title":"Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees","created":"2022-09-04","cited_by_count":5,"area":null},{"id":"2204.07221","title":"Causal Disentanglement with Network Information for Debiased Recommendations","created":"2022-04-14","cited_by_count":4,"area":null},{"id":"2211.01830","title":"Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph","created":"2022-11-02","cited_by_count":4,"area":null},{"id":"2308.09292","title":"Graph-based Alignment and Uniformity for Recommendation","created":"2023-08-18","cited_by_count":4,"area":null},{"id":"2407.18910","title":"Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation","created":"2024-07-26","cited_by_count":3,"area":null},{"id":"2508.19641","title":"Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses","created":"2025-08-27","cited_by_count":3,"area":null},{"id":"2602.22660","title":"LEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training","created":"2026-02-26","cited_by_count":3,"area":null},{"id":"2306.15905","title":"Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2403.03578","title":"Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation","created":"2024-03-06","cited_by_count":2,"area":null},{"id":"2409.09079","title":"D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks","created":"2024-09-10","cited_by_count":2,"area":null},{"id":"2410.02826","title":"LinkThief: Combining Generalized Structure Knowledge with Node Similarity for Link Stealing Attack against GNN","created":"2024-10-01","cited_by_count":2,"area":null},{"id":"2512.11352","title":"CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?","created":"2025-12-12","cited_by_count":2,"area":null},{"id":"2311.09577","title":"Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation","created":"2023-11-16","cited_by_count":1,"area":null},{"id":"2409.14880","title":"End-to-End Graph Flattening Method for Large Language Models","created":"2024-09-23","cited_by_count":1,"area":null},{"id":"2412.01757","title":"Structure-Guided Input Graph for GNNs facing Heterophily","created":"2024-12-02","cited_by_count":1,"area":null},{"id":"2509.23616","title":"GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning","created":"2025-09-28","cited_by_count":1,"area":null},{"id":"2510.18363","title":"Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2308.04943","title":"Differentially Private Graph Neural Network with Importance-Grained Noise Adaption","created":"2023-08-09","cited_by_count":0,"area":null},{"id":"2402.10381","title":"UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style","created":"2024-02-16","cited_by_count":0,"area":null},{"id":"2508.07241","title":"SocRipple: A Two-Stage Framework for Cold-Start Video Recommendations","created":"2025-08-10","cited_by_count":0,"area":null},{"id":"2509.23662","title":"Pure Node Selection for Imbalanced Graph Node Classification","created":"2025-09-28","cited_by_count":0,"area":null},{"id":"2510.03690","title":"From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning","created":"2025-10-04","cited_by_count":0,"area":null},{"id":"2512.14752","title":"Cyberswarm: a novel swarm intelligence algorithm inspired by cyber community dynamics","created":"2025-12-14","cited_by_count":0,"area":null},{"id":"2601.01473","title":"Accelerating Storage-Based Training for Graph Neural Networks","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2601.17449","title":"DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise","created":"2026-01-24","cited_by_count":0,"area":null},{"id":"2603.29148","title":"Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2607.09666","title":"Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey","created":"2026-05-12","cited_by_count":0,"area":null}],"next_cursor":null}